MultiMeasure {consensus} | R Documentation |
Creates a MultiMeasure
object from a set of 3 or more numeric matrices, in preparation to pass to fitConsensus
.
MultiMeasure(names=NA_character_, data=list())
names |
character vector contains the names of each data type (e.g. RNA-Seq, Agilent etc.). Must be the same |
data |
list of numeric matrices of identical |
A MultiMeasure contains a list of numeric matrices with identical dimensions and matching row names and column names, to which multiple row-linear models can be fit using fitConsensus
. Users should pass a vector of names
describing the platform/conditions the genomic measurements are made under, and a corresponding list of matrices to the data
argument. A series of validity checks will be made on data correctness and a helpful error message will be returned if the structure does not conform to the above description.
a MultiMeasure
object
Tim Peters <t.peters@garvan.org.au>
MultiMeasure-class
data(TCGA) tcga_mm <- MultiMeasure(names=c("U133A", "Huex", "Agilent", "RNA-Seq"), data=list(U133A, Huex, Agilent, RNASeq))